Xsup1sup Ysup1sup 1 15 Xsup2sup Ysup2sup 2 3 Xsup3sup Ysup3sup #110
(x<sup>(1)</sup>, y<sup>(1)</sup>) = 1, 1.5, (x<sup>(2)</sup>, y<sup>(2)</sup>) = 2, 3, (x<sup>(3)</sup>, y<sup>(3)</sup>) = 3, 4.5. Hypothesis: h(x) = t<sub>1</sub>x, where t<sub>1</sub> = 2. How much error is obtained?
This multiple choice question (MCQ) is related to the book/course gs gs126 Neural Networks. It can also be found in gs gs126 Linear Regression - Linear Regression – Cost Function - Quiz No.2.
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